Applied Scientist

Key Responsibilities

Research & Development: Apply advanced Machine Learning, Computer Vision, and Natural Language Processing techniques to deeply understand, localize, and enrich video content.

Technical Leadership: Lead the research direction, design long-term scientific roadmaps, and effectively present technical strategies to senior leadership.

Team Growth: Mentor, hire, and develop a deeply talented team of applied scientists to meet evolving customer and platform needs.

Execution: Move quickly from conceptual research to building and implementing deep learning algorithms for practical, high-scale business applications.

Job Requirements

Basic Qualifications

Experience: 3+ years of experience building and deploying machine learning models for real-world business applications.

Education: PhD or Master’s degree in Computer Science (CS), Computer Engineering (CE), Machine Learning (ML), or a highly related technical field (with 4+ years of experience).

Programming: Strong proficiency in programming languages such as Python, Java, or C++.

Deep Learning: Extensive experience developing and implementing deep learning algorithms, particularly within computer vision and image/video processing.

Preferred Qualifications

Experience working in Unix/Linux development environments.

Proven track record in professional, production-grade software development.

A history of academic contributions, including publications at top-tier, peer-reviewed AI/ML conferences or journals.

Benefits & Compensation

Salary Range: $142,800.00 – $193,200.00 USD annually (Final compensation determined by experience, qualifications, and location).

Total Rewards: Package includes base salary, sign-on payments, and Restricted Stock Units (RSUs).